The construction of expert systems based on the theory of fuzzy sets as a trend in modern science and education

Vladimir Testov; Oleg Golubev; Alexandr Korovin; Iuliia Gorohova; Aleksey Babkin; Alexandr Koljev; Olga Panfilova

doi:10.1117/12.2680868

27 April 2023 The construction of expert systems based on the theory of fuzzy sets as a trend in modern science and education

Vladimir Testov, Oleg Golubev, Alexandr Korovin, Iuliia Gorohova, Aleksey Babkin, Alexandr Koljev, Olga Panfilova

Author Affiliations +

Proceedings Volume 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023); 1263706 (2023) https://doi.org/10.1117/12.2680868
Event: International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 2023, Fergana, Uzbekistan

Abstract

The article examines the potential of soft modeling and expert systems in modern education. There is a growing understanding in the scientific community of the need to use flexible and rather soft mathematics in modeling various complex systems. As a rule, each model reflects the internal organization of any system, its essence, which is determined by the set goals.Non-strict or soft models are of a general nature. Fuzzy set theory and fuzzy logic are the basis for creating fuzzy control systems and fuzzy decision-making systems. The ideas of soft modeling are also applicable to expert systems. The authors of the article consider the solution of such problems in relation to education, in particular, determining the significance of various sections of the course "mathematics" for special professionally oriented disciplines.

Citation Download Citation

Vladimir Testov, Oleg Golubev, Alexandr Korovin, Iuliia Gorohova, Aleksey Babkin, Alexandr Koljev, and Olga Panfilova "The construction of expert systems based on the theory of fuzzy sets as a trend in modern science and education", Proc. SPIE 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 1263706 (27 April 2023); https://doi.org/10.1117/12.2680868

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